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dc.contributor.authorRomera Gutiérrez, Elvira 
dc.contributor.authorNagy, Agnes
dc.date.accessioned2026-02-02T11:34:37Z
dc.date.available2026-02-02T11:34:37Z
dc.date.issued2026-02-01
dc.identifier.citationRomera, E., & Nagy, Á. (2026). Density Functional Theory and Information-Theoretic Diagnostics of Quantum Phase Transitions. Entropy, 28(2), 170. https://doi.org/10.3390/e28020170es_ES
dc.identifier.urihttps://hdl.handle.net/10481/110582
dc.description.abstractWithin density functional theory (DFT), where the density is the fundamental vari able, quantum phase transitions (QPTs) can be formulated through a Hamiltonian H = ˆH0+∑iξi ˆAi, such that the control parameters {ξi} are in bijective correspondence (in the nondegenerate case) with the “densities” ai = ⟨ ˆAi⟩, and the functional Q({ai}) acts as the Legendre transform of the energy; this structure even permits the use of Rényi entropy (for a given order) as an alternative control parameter, while degeneracy can be handled via a subspace density. On this foundation, information-theoretic measures provide sensitive diagnostics of criticality: fidelity and its susceptibility χ, Fisher information, relative Rényi entropy, and the Kullback–Leibler divergence are locally linked by Rq≈ q IKL≈ 2qχ(δλ)2, revealing their proportionality in the small-parameter-shift regime. Applied to the Dicke model, numerical analyses show that fidelity exhibits pronounced curvature or divergence near λc = √ ωω0/2 and that the response sharpens with increasing j, corroborating that these information measures capture QPTs with precision within the DFT framework.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDensity functional theoryes_ES
dc.subjectQuantum phase transitionses_ES
dc.subjectRényi entropyes_ES
dc.titleDensity Functional Theory and Information-Theoretic Diagnostics of Quantum Phase Transitionses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/e28020170
dc.type.hasVersionVoRes_ES


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